首页> 外文期刊>G3: Genes, Genomes, Genetics >Multienvironment Quantitative Trait Loci Analysis for Photosynthate Acquisition, Accumulation, and Remobilization Traits in Common Bean Under Drought Stress
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Multienvironment Quantitative Trait Loci Analysis for Photosynthate Acquisition, Accumulation, and Remobilization Traits in Common Bean Under Drought Stress

机译:干旱胁迫下菜豆光合产物获取,积累和迁移特性的多环境定量性状位点分析

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pMany of the worlda€?s common bean (iPhaseolus vulgaris/i L.) growing regions are prone to either intermittent or terminal drought stress, making drought the primary cause of yield loss under farmersa€? field conditions. Improved photosynthate acquisition, accumulation, and then remobilization have been observed as important mechanisms for adaptation to drought stress. The objective of this study was to tag quantitative trait loci (QTL) for photosynthate acquisition, accumulation, and remobilization to grain by using a recombinant inbred line population developed from the Mesoamerican intragenepool cross of drought-susceptible DOR364 and drought-tolerant BAT477 grown under eight environments differing in drought stress across two continents: Africa and South America. The recombinant inbred line population expressed quantitative variation and transgressive segregation for 11 traits associated with drought tolerance. QTL were detected by both a mixed multienvironment model and by composite interval mapping for each environment using a linkage map constructed with 165 genetic markers that covered 11 linkage groups of the common bean genome. In the multienvironment, mixed model, nine QTL were detected for 10 drought stress tolerance mechanism traits found on six of the 11 linkage groups. Significant QTL ?— environment interaction was observed for six of the nine QTL. QTL ?— environment interaction was of the cross-over type for three of the six significant QTL with contrasting effect of the parental alleles across different environments. In the composite interval mapping, we found 69 QTL in total. The majority of these were found for Palmira (47) or Awassa (18), with fewer in Malawi (4). Phenotypic variation explained by QTL in single environments ranged up to 37%, and the most consistent QTL were for Soil Plant Analysis Development (SPAD) leaf chlorophyll reading and pod partitioning traits. QTL alignment between the two detection methods showed that yield QTL on b08 and stem carbohydrate QTL on b05 were most consistent between the multilocation model and the single environment detection. Our results indicate the relevance of QTL detection in the sites in which bean breeding will be undertaken and the importance of photosynthate accumulation as a trait for common bean drought tolerance./p
机译:>世界上许多普通豆(Phaseolus vulgaris L.)的生长地区都容易出现间歇性或终末干旱胁迫,这使干旱成为农民减产的主要原因。现场条件。已经观察到改善的光合产物获取,积累和再迁移是适应干旱胁迫的重要机制。这项研究的目的是通过使用在8岁以下干旱易感的DOR364和耐旱的BAT477的中美洲种内种质杂交开发的重组自交系种群,为光合产物的采集,积累和向谷物的迁移标记定量性状位点(QTL)。非洲和南美两大洲的干旱胁迫环境不同。重组自交系群体表现出与耐旱性相关的11个性状的数量变异和海马分离。通过使用165个遗传标记构建的连锁图谱(包括普通豆基因组的11个连锁组)构建的连锁图谱,通过混合多环境模型和每种环境的复合区间作图来检测QTL。在多环境混合模型中,在11个连锁组中的6个连锁组中,针对10个干旱胁迫耐受机制特征检测到9个QTL。在九个QTL中的六个中,观察到了显着的QTL-环境相互作用。 QTL-环境相互作用是六个重要QTL中的三个的交叉类型,具有跨不同环境的亲本等位基因的对比作用。在复合区间映射中,我们总共发现了69个QTL。其中大多数是帕尔米拉(47)或阿瓦萨(18),马拉维(4)较少。 QTL在单一环境中解释的表型变异范围高达37%,并且最一致的QTL是针对土壤植物分析发展(SPAD)叶片叶绿素读取和荚果分配性状。两种检测方法之间的QTL对比显示,在多定位模型和单一环境检测之间,b08的产量QTL和b05的茎碳水化合物QTL最一致。我们的结果表明,在进行豆类育种的地点进行QTL检测具有相关性,并且光合产物的积累对普通豆类的耐旱性具有重要意义。

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